Managing the tension between opposing effects of explainability of artificial intelligence: a contingency theory perspective

B Abedin - Internet Research, 2022 - emerald.com
Purpose Research into the interpretability and explainability of data analytics and artificial
intelligence (AI) systems is on the rise. However, most recent studies either solely promote …

A framework for understanding artificial intelligence research: insights from practice

RE Bawack, S Fosso Wamba… - Journal of Enterprise …, 2021 - emerald.com
Purpose The current evolution of artificial intelligence (AI) practices and applications is
creating a disconnection between modern-day information system (IS) research and …

An analysis of the sustainability goals of digital technology start-ups in Berlin

T Lammers, L Rashid, J Kratzer, A Voinov - Technological Forecasting and …, 2022 - Elsevier
New digital ventures play a very important role in the creation of new products and services
and are a major driver of current economies. At the same time, there is growing awareness …

Conscious empathic AI in service

H Esmaeilzadeh, R Vaezi - Journal of Service Research, 2022 - journals.sagepub.com
Recent advances in artificial intelligence (AI) have achieved human-scale speed and
accuracy for classification tasks. Current systems do not need to be conscious to recognize …

[PDF][PDF] From Ethical AI Principles to Governed AI.

A Seppälä, T Birkstedt, M Mäntymäki - ICIS, 2021 - researchgate.net
This study explores how organizations translate principles of ethical artificial intelligence (AI)
into practice. To date, the research on AI ethics has been mostly conceptual, with a …

The role of domain expertise in trusting and following explainable AI decision support systems

S Bayer, H Gimpel, M Markgraf - Journal of Decision Systems, 2022 - Taylor & Francis
Although the roots of artificial intelligence (AI) stretch back some years, it currently flourishes
in research and practice. However, AI deals with trust issues. One possible solution …

[HTML][HTML] Using machine learning to create and capture value in the business models of small and medium-sized enterprises

R Costa-Climent, DM Haftor, MW Staniewski - International Journal of …, 2023 - Elsevier
Start-ups have revolutionised many economic ecosystems, becoming innovation pioneers
around the world. Most are based on data-driven business models, particularly relying on …

Digital International Relations

C Bjola, M Kornprobst - Abingdon, Oxon, 2023 - api.taylorfrancis.com
What are digital international relations and how are we to study them? Paraphrasing
Gramsci, we see the widespread perception of systemic crisis that digital technologies have …

Artificial Intelligence for Career Guidance--Current Requirements and Prospects for the Future.

S Westman, J Kauttonen, A Klemetti, N Korhonen… - IAFOR Journal of …, 2021 - ERIC
Career guidance in the era of life-long learning faces challenges related to building
accessible services that bridge education and employment services. So far, only limited …

Decoding AI readiness: An in-depth analysis of key dimensions in multinational corporations

AN Tehrani, S Ray, SK Roy, RL Gruner, FP Appio - Technovation, 2024 - Elsevier
Artificial Intelligence (AI) stands ready to impact all aspects of business, from optimizing
operations to personalizing services and enhancing customer value. However, many …